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Job Posting Title: Postdoctoral Fellow, Department of Electrical and Computer Engineering in Cockrell School of Engineering ---- Hiring Department: Chandra Department of Electrical and Computer
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Details Title Postdoctoral Fellow in Deep Learning Theory and/or Theoretical Neuroscience School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position
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This postdoc will work under the supervision of Dr. Guanyi Wang in ISEM at NUS to explore cutting-edge algorithms, derive rigorous theoretical guarantees, and implement numerical simulations
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
be predicted using machine learning based on drug-specific information, patient demographics, and clinical trial data. 2. Modeling for Regulatory Science – Leveraging drug development and regulatory
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 14 hours ago
Skip to Main Content Press Control+M to start dragging object ptnbsid=VtmyGM%2fZTOCTrIaCAfbJXYZFGIw%3d Back Accessibility Enable Screen Reader Mode Keyboard Shortcuts Accessibility Help Search Jobs Menu Current search category:Menu Search keywords Press the Enter key to display the default...
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designing and building visualization dashboards. Research experience in human-centered AI, or in the integration of AI and machine learning methods into interactive visualization and analysis systems. Strong
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scientific leaders and researchers. The group of Wang Zhongjian is looking for postdocs working on scientific computing and machine learning related topics. The funding is currently under a MOE grant entitled
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engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills In-depth knowledge
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, military service, pregnancy and pregnancy-related conditions, or other protected status. Please note: This position is contingent upon funding and satisfactory performance. Due to the importance of in-person
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knowledge-grounded reasoning with flexible machine learning Tools that reduce manual burden while preserving traceability and clinical interpretability This position offers the opportunity to publish novel